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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonActivationFloatWorkload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonActivationFloatWorkload.cpp | 57 |
1 files changed, 0 insertions, 57 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonActivationFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonActivationFloatWorkload.cpp deleted file mode 100644 index bedf3dcb02..0000000000 --- a/src/armnn/backends/NeonWorkloads/NeonActivationFloatWorkload.cpp +++ /dev/null @@ -1,57 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "NeonActivationFloatWorkload.hpp" -#include "backends/ArmComputeUtils.hpp" - - -namespace armnn -{ - -arm_compute::Status NeonActivationWorkloadValidate(const TensorInfo& input, - const TensorInfo& output, - const ActivationDescriptor& descriptor) -{ - const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); - const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); - - const arm_compute::ActivationLayerInfo activationLayerInfo = - ConvertActivationDescriptorToAclActivationLayerInfo(descriptor); - - if (input.GetDataType() == DataType::QuantisedAsymm8 && - activationLayerInfo.activation() == arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC) - { - return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, - "Neon: Logistic Activations unsupported with QAsymm8 data type."}; - } - - return arm_compute::NEActivationLayer::validate(&aclInput, - &aclOutput, - activationLayerInfo); -} - -NeonActivationFloatWorkload::NeonActivationFloatWorkload(const ActivationQueueDescriptor& descriptor, - const WorkloadInfo& info) - : FloatWorkload<ActivationQueueDescriptor>(descriptor, info) -{ - m_Data.ValidateInputsOutputs("NeonActivationFloatWorkload", 1, 1); - - const arm_compute::ActivationLayerInfo activationLayerInfo = - ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters); - - arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - m_ActivationLayer.configure(&input, &output, activationLayerInfo); -} - -void NeonActivationFloatWorkload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonActivationFloatWorkload_Execute"); - m_ActivationLayer.run(); -} - -} //namespace armnn - |